Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.

@article{Liu2014HierarchicalFO,
  title={Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.},
  author={Manhua Liu and Daoqiang Zhang and Dinggang Shen},
  journal={Human brain mapping},
  year={2014},
  volume={35 4},
  pages={
          1305-19
        }
}
Pattern classification methods have been widely investigated for analysis of brain images to assist the diagnosis of Alzheimer's disease (AD) and its early stage such as mild cognitive impairment (MCI). By considering the nature of pathological changes, a large number of features related to both local brain regions and interbrain regions can be extracted for classification. However, it is challenging to design a single global classifier to integrate all these features for effective… CONTINUE READING

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